Landslide susceptibility mapping using fuzzy logic and multi-criteria evaluation techniques in the city of Quito, Ecuador

A landslide susceptibility map for Quito, Ecuador, reveals that 5% of the study area faces critical risk, with 19% high, 58% average, and 18% low sensitivity. The research leveraged fuzzy logic and multi-criteria evaluation techniques in GIS to model susceptibility based on historical and field-validated landslide data. Key factors such as topography, geology, precipitation, and vegetation were standardized using a sinusoidal function to assess their correlation with landslides. Validation confirmed the model's accuracy with a 78.4% adjustment rate and a standard error of 0.216, underscoring its reliability for infrastructure planning in high-risk zones like Simón Bolívar Avenue.

Salcedo, D., Padilla Almeida, O., Morales, B., & Toulkeridis, T. (2018). Landslide susceptibility mapping using fuzzy logic and multi-criteria evaluation techniques in the city of Quito, Ecuador. https://doi.org/10.5194/nhess-2018-86